rule sms_metrics: input: "data/raw/{pid}/messages_with_datetime.csv" params: sms_type = "{sms_type}", day_segment = "{day_segment}", metrics = lambda wildcards: config["SMS"]["METRICS"][wildcards.sms_type] output: "data/processed/{pid}/sms_{sms_type}_{day_segment}.csv" script: "../src/features/sms_metrics.R" rule call_features: input: "data/raw/{pid}/calls_with_datetime_unified.csv" params: call_type = "{call_type}", day_segment = "{day_segment}", features = lambda wildcards: config["CALLS"]["FEATURES"][wildcards.call_type] output: "data/processed/{pid}/call_{call_type}_{day_segment}.csv" script: "../src/features/call_features.R" rule battery_deltas: input: "data/raw/{pid}/battery_with_datetime_unified.csv" output: "data/processed/{pid}/battery_deltas.csv" script: "../src/features/battery_deltas.R" rule screen_deltas: input: screen = "data/raw/{pid}/screen_with_datetime.csv", participant_info = "data/external/{pid}" output: "data/processed/{pid}/screen_deltas.csv" script: "../src/features/screen_deltas.R" rule google_activity_recognition_deltas: input: "data/raw/{pid}/plugin_google_activity_recognition_with_datetime.csv" output: "data/processed/{pid}/plugin_google_activity_recognition_deltas.csv" script: "../src/features/google_activity_recognition_deltas.R" rule location_barnett_metrics: input: raw = "data/raw/{pid}/locations_raw.csv", fused = rules.resample_fused_location.output params: metrics = config["BARNETT_LOCATION"]["METRICS"], locations_to_use = config["BARNETT_LOCATION"]["LOCATIONS_TO_USE"], accuracy_limit = config["BARNETT_LOCATION"]["ACCURACY_LIMIT"], timezone = config["BARNETT_LOCATION"]["TIMEZONE"], day_segment = "{day_segment}" output: "data/processed/{pid}/location_barnett_{day_segment}.csv" script: "../src/features/location_barnett_metrics.R" rule bluetooth_features: input: "data/raw/{pid}/bluetooth_with_datetime.csv" params: day_segment = "{day_segment}", features = config["BLUETOOTH"]["FEATURES"] output: "data/processed/{pid}/bluetooth_{day_segment}.csv" script: "../src/features/bluetooth_features.R" rule activity_metrics: input: gar_events = "data/raw/{pid}/plugin_google_activity_recognition_with_datetime.csv", gar_deltas = "data/processed/{pid}/plugin_google_activity_recognition_deltas.csv" params: segment = "{day_segment}", metrics = config["GOOGLE_ACTIVITY_RECOGNITION"]["METRICS"] output: "data/processed/{pid}/google_activity_recognition_{day_segment}.csv" script: "../src/features/google_activity_recognition.py" rule battery_metrics: input: "data/processed/{pid}/battery_deltas.csv" params: day_segment = "{day_segment}", metrics = config["BATTERY"]["METRICS"] output: "data/processed/{pid}/battery_{day_segment}.csv" script: "../src/features/battery_metrics.py" rule screen_features: input: screen_deltas = "data/processed/{pid}/screen_deltas.csv", phone_sensed_bins = "data/interim/{pid}/phone_sensed_bins.csv" params: day_segment = "{day_segment}", reference_hour_first_use = config["SCREEN"]["REFERENCE_HOUR_FIRST_USE"], features_deltas = config["SCREEN"]["FEATURES_DELTAS"], episode_types = config["SCREEN"]["EPISODE_TYPES"], bin_size = config["PHONE_VALID_SENSED_DAYS"]["BIN_SIZE"] output: "data/processed/{pid}/screen_{day_segment}.csv" script: "../src/features/screen_features.py" rule light_features: input: "data/raw/{pid}/light_with_datetime.csv", params: day_segment = "{day_segment}", features = config["LIGHT"]["FEATURES"], output: "data/processed/{pid}/light_{day_segment}.csv" script: "../src/features/light_features.py" rule accelerometer_features: input: "data/raw/{pid}/accelerometer_with_datetime.csv", params: day_segment = "{day_segment}", features = config["ACCELEROMETER"]["FEATURES"], output: "data/processed/{pid}/accelerometer_{day_segment}.csv" script: "../src/features/accelerometer_features.py" rule applications_foreground_features: input: "data/interim/{pid}/applications_foreground_with_datetime_with_genre.csv", params: day_segment = "{day_segment}", single_categories = config["APPLICATIONS_FOREGROUND"]["SINGLE_CATEGORIES"], multiple_categories = config["APPLICATIONS_FOREGROUND"]["MULTIPLE_CATEGORIES"], single_apps = config["APPLICATIONS_FOREGROUND"]["SINGLE_APPS"], excluded_categories = config["APPLICATIONS_FOREGROUND"]["EXCLUDED_CATEGORIES"], excluded_apps = config["APPLICATIONS_FOREGROUND"]["EXCLUDED_APPS"], features = config["APPLICATIONS_FOREGROUND"]["FEATURES"], output: "data/processed/{pid}/applications_foreground_{day_segment}.csv" script: "../src/features/applications_foreground_features.py" rule fitbit_heartrate_metrics: input: "data/raw/{pid}/fitbit_heartrate_with_datetime.csv", params: day_segment = "{day_segment}", metrics = config["HEARTRATE"]["METRICS"], output: "data/processed/{pid}/fitbit_heartrate_{day_segment}.csv" script: "../src/features/fitbit_heartrate_metrics.py" rule fitbit_step_features: input: steps_data = "data/raw/{pid}/fitbit_steps_with_datetime.csv", params: day_segment = "{day_segment}", features_all_steps = config["STEP"]["FEATURES"]["ALL_STEPS"], features_sedentary_bout = config["STEP"]["FEATURES"]["SEDENTARY_BOUT"], features_active_bout = config["STEP"]["FEATURES"]["ACTIVE_BOUT"], threshold_active_bout = config["STEP"]["THRESHOLD_ACTIVE_BOUT"], include_zero_step_rows = config["STEP"]["INCLUDE_ZERO_STEP_ROWS"] output: "data/processed/{pid}/fitbit_step_{day_segment}.csv" script: "../src/features/fitbit_step_features.py"